Orr Karassin, Shula Goulden This study examines the factors influencing satisfaction with place of residence in Israel, focusing on environmental, transportation, community, and security-related variables. The analysis is based on logistic regression models applied to data from the Israeli Social Survey conducted by the Central Bureau of Statistics in 2014 (7,106 respondents) and 2021 (7,401 respondents). Unlike traditional satisfaction surveys that rely on self-reported levels of satisfaction, the model employed in this study estimates inferred satisfaction— allowing for a more precise identification of the most impactful predictors based on statistical associations between satisfaction levels and a range of potential explanatory variables, while controlling for demographic and social characteristics. The findings indicate that among the four categories of predictive variables, environmental factors have the strongest influence on residential satisfaction, particularly public space cleanliness and the quality of open areas. Based on 2021 data, satisfaction with the cleanliness increases the likelihood of overall residential satisfaction by a factor of 2.7. Satisfaction with open spaces is also a significant contributor, raising the odds by a factor of 1.83. Other environmental variables—such as noise levels, waste collection, and air pollution— were found to have a more moderate impact. Within the community relations category, neighborly relations emerged as a particularly strong predictor of satisfaction. Comparative analysis of the 2014 and 2021 data indicates that the influence of this variable has strengthened over time. In contrast, the perceived ability to influence community life had only a modest positive effect. Abstract iii
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